By open-sourcing eBPF-based auto-instrumentation and then donating it as an OpenTelemetry BPF Instrumentation (OBI) project, Grafana didn’t just release code, they lowered the onramp for observability.
With Causely + Grafana, the gaming platform can spot reliability risks early, take the right action, and avoid revenue-impacting incidents before users even notice.
See how Causely and ClickStack by ClickHouse help teams fix failures confidently and address their real-world impact.
By combining Causely’s causal reasoning engine with incident.io’s powerful automation platform, engineering teams can identify the true root cause of incidents faster and respond with greater focus.
By combining Causely’s causal reasoning engine with incident.io, engineering teams with complex microservices environments can go from incident to resolution much faster.
Confusing SRE, DevOps, and Platform Engineering may work at 20 engineers, but at 200 it creates chaos. Here’s why the distinctions matter and how to scale them effectively.
Whether we call it APM or observability is bikeshedding. What really matters is ensuring systems deliver the service levels users expect. That’s where AI comes in.
Microservices do not automatically deliver fault isolation by design. They replace one obvious forest fire with a sprawling network of subtle, cascading brush fires.
Severin shares insights into his career path, including his involvement with AppDynamics and Cisco, and his current role at Causely, where he focuses on OpenTelemetry and causal reasoning for root cause analysis.
This article has been reposted with permission from CIO Dive.
When a provider slows down, Causely shows exactly how the impact ripples across your services and identifies the external API as the root cause.
Causal reasoning with AI agents enable proactive incident prevention, automated remediation, and a path toward autonomous service reliability.